This paper investigates whether ETF returns lead the returns of underlying bonds and similar style bond funds. Bond prices are often stale due to their lack of liquidity, and price discovery may occur in ETFs and then in underlying bonds. As predicted, we find that ETF returns predict its own...

We examine the predictive power of the CDS-bond basis for future corporate bond returns. We find that residual basis, the part of the CDS-bond basis that cannot be explained by a wide range of market frictions such as counterparty risk, funding risk, and liquidity risk, strongly negatively...

This paper examines whether deep/machine learning can help find any statistical and/or economic evidence of out-of-sample bond return predictability when real-time, instead of fully-revised, macro variables are taken as predictors. First, when using pure real-time macro information alone, we...

The paper examines statistical and economic evidence of out-of-sample bond return predictability for a real-time Bayesian investor who learns about parameters, hidden states, and predictive models over time. We find some statistical evidence using information contained in forward rates. However,...

This paper examines the momentum effect and its causes, the persistence in default risk change in particular, in both corporate bond and stock markets. Using a comprehensive bond dataset, we observe a significant momentum effect in corporate bond returns and bond credit spread changes. The...

The formation period return difference between past winners and losers, which I call the momentum gap, negatively predicts momentum profits. I document this for the U.S. stock market and find consistent results across 21 major international markets. A one standard deviation increase in the...

Non-fundamental demand shocks have significant effects on asset prices, but observing these shocks is challenging. We use the exchange traded fund (ETF) primary market to study non-fundamental demand. Unique to the ETF market, specialized arbitrageurs called authorized participants correct...

We propose that innovative originality is a valuable organizational resource, and that owing to limited investor attention and skepticism of complexity, greater innovative originality may be undervalued. We find that firms' innovative originality strongly predicts higher, more persistent, and...

According to the dynamic version of the Gordon growth model, the long-run expected return on stocks, stock yield, is the sum of the dividend yield on stocks plus some weighted average of expected future growth rates in dividends. We construct a measure of stock yield as a model-imposed affine...

This paper finds evidence that stock returns vary with the physical climate change exposure of firms in a predictable manner. We construct measures of exposures to physical climate changes at the firm level, and find that firms with high climate change exposures experience lower future...